Literature DB >> 23819743

Automated quality measurement in Department of the Veterans Affairs discharge instructions for patients with congestive heart failure.

Jennifer H Garvin1, Peter L Elkin, Shuying Shen, Steven Brown, Brett Trusko, Enlai Wang, Linda Hoke, Ylenia Quiaoit, Joan Lajoie, Mark G Weiner, Pauline Graham, Theodore Speroff.   

Abstract

Quality measurement is an important issue for the United States Department of Veterans Affairs (VA). In this study, we piloted the use of an informatics tool, the Multithreaded Clinical Vocabulary Server (MCVS), which extracted automatically whether the VA Office of Quality and Performance measures of quality of care were met for the completion of discharge instructions for inpatients with congestive heart failure. We used a single document, the discharge instructions, from one section of the medical records for 152 patients and developed a reference standard using two independent reviewers to assess performance. When evaluated against the reference standard, MCVS achieved a sensitivity of 0.87, a specificity of 0.86, and a positive predictive value of 0.90. The automated process using the discharge instruction document worked effectively. The use of the MCVS tool for concept-based indexing resulted in mostly accurate data capture regarding quality measurement, but improvements are needed to further increase the accuracy of data extraction.
© 2012 National Association for Healthcare Quality.

Entities:  

Keywords:  evaluation of health information technology; natural language processing (NLP); performance measurement

Mesh:

Year:  2013        PMID: 23819743     DOI: 10.1111/j.1945-1474.2011.195.x

Source DB:  PubMed          Journal:  J Healthc Qual        ISSN: 1062-2551            Impact factor:   1.095


  6 in total

Review 1.  Technology-assisted congestive heart failure care.

Authors:  P Iyngkaran; S R Toukhsati; N Biddagardi; H Zimmet; J J Atherton; D L Hare
Journal:  Curr Heart Fail Rep       Date:  2015-04

2.  Incorporating Guideline Adherence and Practice Implementation Issues into the Design of Decision Support for Beta-Blocker Titration for Heart Failure.

Authors:  Michael W Smith; Charnetta Brown; Salim S Virani; Charlene R Weir; Laura A Petersen; Natalie Kelly; Julia Akeroyd; Jennifer H Garvin
Journal:  Appl Clin Inform       Date:  2018-06-27       Impact factor: 2.342

3.  Validation of Stroke Meaningful Use Measures in a National Electronic Health Record System.

Authors:  Michael S Phipps; Jeff Fahner; Danielle Sager; Jessica Coffing; Bailey Maryfield; Linda S Williams
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

Review 4.  Clinical information extraction applications: A literature review.

Authors:  Yanshan Wang; Liwei Wang; Majid Rastegar-Mojarad; Sungrim Moon; Feichen Shen; Naveed Afzal; Sijia Liu; Yuqun Zeng; Saeed Mehrabi; Sunghwan Sohn; Hongfang Liu
Journal:  J Biomed Inform       Date:  2017-11-21       Impact factor: 6.317

5.  Sustainable Health Informatics: Health Informaticians as Alchemists.

Authors:  Christian Nøhr; Craig E Kuziemsky; Peter L Elkin; Romaric Marcilly; Sylvia Pelayo
Journal:  Stud Health Technol Inform       Date:  2019-08-09

6.  Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review.

Authors:  Christophe Gaudet-Blavignac; Vasiliki Foufi; Mina Bjelogrlic; Christian Lovis
Journal:  J Med Internet Res       Date:  2021-01-26       Impact factor: 5.428

  6 in total

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